Triple

T10616959
Position Surface form Disambiguated ID Type / Status
Subject Llanbedr railway station E276144 entity
Predicate stationCode P1289 FINISHED
Object LBR
LBR is the National Rail station code for Llanbedr railway station in Gwynedd, Wales.
 E876076 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LBR | Statement: [Llanbedr railway station, stationCode, LBR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LBR
Context triple: [Llanbedr railway station, stationCode, LBR]
  • A. LBR
    LBR is the official FIFA trigramme used to represent the Liberia national football team in international competitions and records.
  • B. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • C. LB
    LB is the former New York Stock Exchange ticker symbol for L Brands, the American retail company that owned brands such as Victoria’s Secret and Bath & Body Works.
  • D. LB
    LB is the vehicle registration code for the Ludwigsburg district in the Stuttgart administrative region of Baden-Württemberg, Germany.
  • E. LBU
    LBU is the IATA airport code for Labuan Airport, which serves the island of Labuan in Malaysia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LBR
Triple: [Llanbedr railway station, stationCode, LBR]
Generated description
LBR is the National Rail station code for Llanbedr railway station in Gwynedd, Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LBR
Target entity description: LBR is the National Rail station code for Llanbedr railway station in Gwynedd, Wales.
  • A. LBR
    LBR is the official FIFA trigramme used to represent the Liberia national football team in international competitions and records.
  • B. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • C. LB
    LB is the former New York Stock Exchange ticker symbol for L Brands, the American retail company that owned brands such as Victoria’s Secret and Bath & Body Works.
  • D. LB
    LB is the vehicle registration code for the Ludwigsburg district in the Stuttgart administrative region of Baden-Württemberg, Germany.
  • E. LBU
    LBU is the IATA airport code for Labuan Airport, which serves the island of Labuan in Malaysia.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df6e2df4819099a19b59d90d0dd1 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b7bb7108190b0f1cbe4117abec0 completed April 10, 2026, 9:28 p.m.
NEDg Description generation batch_69d96dee84f48190bf5b0cb1115a8bba completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d9708824208190acf75933962d690f completed April 10, 2026, 9:50 p.m.
Created at: April 8, 2026, 7:33 p.m.